Land use change frequency influences the achievement of land degradation neutrality: Evidence from the Yunnan-Guangxi-Guizhou key rocky desertification areas in China.
Land use change frequency influences the achievement of land degradation neutrality: Evidence from the Yunnan-Guangxi-Guizhou key rocky desertification areas in China.
- Research Article
628
- 10.1016/j.envsci.2017.10.011
- Nov 5, 2017
- Environmental Science & Policy
Land in balance: The scientific conceptual framework for Land Degradation Neutrality
- Research Article
147
- 10.1016/j.jenvman.2016.10.043
- Nov 5, 2016
- Journal of Environmental Management
Land Degradation Neutrality: Concept development, practical applications and assessment
- Research Article
83
- 10.1016/j.ecolind.2022.109530
- Oct 6, 2022
- Ecological Indicators
Land degradation neutrality: A review of progress and perspectives
- Research Article
45
- 10.1016/j.envsci.2021.06.024
- Jul 7, 2021
- Environmental Science & Policy
Land degradation is a major global issue and achieving a land degradation-neutral world is one of the Sustainable Development Goals. However, striving for land degradation neutrality (LDN) is challenged by increasing claims on land resources and could result in major land use conflicts. The aim of this study is to demonstrate how LDN can be implemented in land system modelling and how achieving LDN alongside sufficient supplies of food, timber and shelter could affect future land system patterns, using the Republic of Turkey as a case study. We developed a LDN scenario with full implementation of the guidelines and a business-as-usual scenario without pursuing LDN, and compared the resulting differences in land system changes. Additionally, the influence of different elements of the LDN framework on the land use projections was tested. Our results show that although it is possible to achieve LDN in the context of increasing demands for resources and housing, it might require a considerable re-organization of the land systems. Intensification of annual cropland systems was the main driver of new land degradation, which was in the LDN scenario primarily counterbalanced by large areas of afforestation, while other land improvement options only played a minor role. To achieve a no-net-loss, about 20% of Turkey’s territory was afforested in our scenario, mainly claiming extensively used annual cropland (∼70%) and grassland (∼30%). All individual LDN principles had a substantial impact on the final land system patterns meaning that the final outcome is not the result of just one of the principles, it is affected by all. Our findings suggest that pursuing LDN under growing demands for land-based products could stimulate a land sparing approach which might have trade-offs with other sustainability dimensions. This highlights the need for local support and new solutions for rural areas, thereby avoiding poverty, migration and illegal use of restoration areas.
- Research Article
2
- 10.3390/systems13060408
- May 24, 2025
- Systems
Land Degradation Neutrality (LDN) is an ambitious initiative by the United Nations Convention to Combat Desertification (UNCCD) to tackle land degradation. Inspired by the “no net loss” concept, LDN seeks to counterbalance unavoidable land degradation—primarily driven by food systems—through targeted regenerative actions at multiple scales—such as regenerative agriculture or grazing practices that simultaneously support production and preserve land fertility. The objective is to ensure that degradation does not surpass the 2015 baseline. While the UNCCD’s Science–Policy Interface provides guidance and the LDN Target Setting Programme has led many countries to define baselines using agreed indicators (soil organic carbon, land use change, and primary productivity), concrete intervention strategies often remain poorly defined. Moreover, the voluntary nature of LDN has limited its effectiveness. A key shortcoming is the lack of integrated planning. LDN should function as a “Plan of Plans”—a coordinating framework to align policies across sectors and scales, reconciling conflicting agendas in areas such as food, energy, and water. To this end, we advocate for a systemic approach to uncover synergies, manage trade-offs, and guide decision-making in complex socio-ecological landscapes. Land degradation is intricately linked to issues such as food insecurity, land acquisitions, and transboundary water stress. Although LDN is implemented at the national level, its success also depends on accounting for global dynamics—particularly “LDN leaks”, where land degradation is outsourced through international trade in food and raw materials. In an increasingly complex world shaped by globalization, resource depletion, and unpredictable system dynamics, effective responses demand an integrated socio-ecological management approach. LDN is not simply a strategy to address desertification. It offers a comprehensive framework for sustainable resource management, enabling the balancing of trade-offs and the promotion of long-term resilience.
- Research Article
15
- 10.46850/elni.2015.001
- Oct 1, 2015
- elni Review
On World Soil Day, December 5, 2013, the UN General Assembly announced that 2015 marked the ‘International Year of Soils’. This announcement aimed to promote the protection of soil and increase awareness and understanding of its importance. It seems that soil is now, after decades defined by a lack of attention and awareness, finally receiving a greater degree of the much-needed consideration. Examples of this development include the establishment of the Global Soil Partnership (2012), the Intergovernmental Technical Panel on Soils (2013), the ‘Economics of Land Degradation’ publication (2013) and the annual organisation of the Global Soil Week (as of 2012). This article explores how the current momentum in international soil policy can be used to promote sustainable land use and reduce land degradation, particularly through the SDG process and using UN Conventions. It puts a special emphasis on the opportunities and challenges of the concept of “land degradation neutrality”. Firstly, this article addresses the background on the pressing issue of land degradation. Secondly, it deals with the adopted SDGs and the inclusion of a target for land degradation neutrality. Thirdly, national implementation of the SDGs are addressed including the need for countries to analyse their legislation and policies to determine whether they support land degradation neutrality. International conventions may direct more action toward and potentially increase the consistency and effectiveness of measures to accomplish the SDG targets, posing another avenue which could contribute to the achievement of land degradation neutrality. Particular emphasis is given to the UNCCD and the UN Convention on Biological Diversity (CBD) as the theoretically most appropriate conventions which may further the accomplishment of land degradation neutrality by adoption of stronger land-related obligations. Based on the preceding discussion, the paper concludes with issues, concerns and suggestions for the future to strive for land degradation neutrality.
- Research Article
2
- 10.3390/earth5020014
- Jun 20, 2024
- Earth
The United Nations (UN) Land Degradation Neutrality (LDN) evaluation stresses the need to account for different types of land degradation (LD) as part of the UN Sustainable Development Goal (SDG 15: Life on Land) and UN Convention to Combat Desertification (UNCCD). For example, one of the indicators, 15.3.1 Proportion of land that is degraded over total land area, can be differentiated between different types of LD (e.g., urban development, agriculture, barren) when considering land use and land cover (LULC) change analysis. This study demonstrates that it is important to consider not only the overall anthropogenic LD status and trend over time, but also the type of LD to confirm LDN. This study’s innovation is that it leverages remote-sensing-based LULC change analysis to evaluate LDN by different types of LD using the state of Ohio (OH) as a case study. Almost 67% of land in OH experienced anthropogenic LD primarily due to agriculture (81%). All six soil orders were subject to various degrees of anthropogenic LD: Mollisols (88%), Alfisols (70%), Histosols (58%), Entisols (55%), Inceptisols (43%), and Ultisols (22%). All land developments in OH can be linked to damages from LD, with 10,116.3 km2 developed, resulting in midpoint losses of 1.4 × 1011 kg of total soil carbon (TSC) and a midpoint social cost of carbon dioxide emissions (SC-CO2) of $24B (where B = billion = 109, USD). Overall, the anthropogenic LD trend between 2001 and 2016 indicated LDN, however, during the same time, there was a six percent increase in developed area (577.6 km2), which represents a consumptive land conversion that likely caused the midpoint loss of 8.4 × 109 kg of TSC and a corresponding midpoint of $1.4B in SC-CO2. New developments occurred adjacent to current urban areas, near the capital city of Columbus, and other cities (e.g., Dayton, Cleveland). Developments negated OH’s overall LDN because of multiple types of damages: soil C loss, associated “realized” soil C social costs (SC-CO2), and loss of soil C sequestration potential. The state of OH has very limited potential land (1.2% of the total state area) for nature-based solutions (NBS) to compensate for the damages, which extend beyond the state’s boundaries because of the greenhouse gas emissions (GHG).
- Research Article
65
- 10.1016/j.geoderma.2019.114093
- Jan 7, 2020
- Geoderma
Water erosion aspects of land degradation neutrality to landscape planning tools at national scale
- Research Article
11
- 10.46488/nept.2022.v21i01.010
- Mar 6, 2022
- Nature Environment and Pollution Technology
The UN Sustainable Development Goals specifically note the growing importance of land degradation management and mitigation strategies, advocating for global collaboration and innovative research and policy outlook. In this reflective summary, we synthesize the current worldview (post-2000) on land degradation neutrality (LDN), an emerging concept in the field of environmental sustainability that advocates a dynamic balance between degradation and restoration, to ensure no net loss in productive land resources. We first introduce the LDN Causal Framework (theoretical framework of LDN), followed by the Logic Model – guideline for on-ground LDN method implementation (comprising preparatory activities, followed by Integrated Land Use Planning (ILUP), and LDN Response Hierarchy (Avoid-Reduce-Reverse)). We draw attention to growing concerns about LDN technical problems: restore vs. rehabilitate; selecting indicator variables, and establishing a baseline. In the final section, we reflect on the social-ecological aspect of LDN – harnessing participatory action (multi-stakeholder engagement) and gender mainstreaming. Overall, LDN presents an umbrella vision for environmental regeneration and land capital management, that requires seamless integration of natural with social sciences, the policy with law, and requires strategic community mobilization.
- Research Article
36
- 10.1016/j.ecolind.2023.110311
- Apr 30, 2023
- Ecological Indicators
The cross-boundary of land degradation in Mongolia and China and achieving its neutrality - challenges and opportunities
- Research Article
31
- 10.1016/j.scitotenv.2024.171735
- Mar 15, 2024
- Science of The Total Environment
Land degradation neutrality assessment and factors influencing it in China's arid and semiarid regions
- Book Chapter
35
- 10.1007/978-3-319-42508-5_9
- Jan 1, 2017
Efforts to establish Land Degradation Neutrality (LDN) as a global objective in the fight against land degradation culminated in 2015 when LDN became part of the Sustainable Development Goals (SDGs) (target 15.3). Following swiftly, the twelfth session Conference of the Parties (COP 12) to the United Nations Convention to Combat Desertification (UNCCD) decided to integrate LDN into the Convention process and invited countries to set themselves national voluntary targets to achieve LDN. This recognition of LDN at the political stage created the need to further operationalize the concept of LDN and transform it into an implementable approach that helps countries to make progress towards reaching the SDGs and the objectives of the UNCCD. Given that LDN is essentially a “not net loss” approach it requires the quantification of land degradation. As such, a particular challenge lies in identifying and measuring appropriate indicators that allow for monitoring changes and tracking progress. Against this background, the aim of this article is both to describe the integration of LDN in the UNCCD process and explain how and with which indicators LDN might be monitored. To start with, Sect. 1 illustrates how LDN was established as a political goal and provides an overview of the most important decisions of COP 12 in this regard. Then, Sect. 2 describes the meaning of LDN and presents the basic elements of the LDN conceptual framework that is currently being developed by the UNCCD Science-Policy Interface (SPI). Subsequently, Sect. 3 explores how LDN can be measured, monitored and reported. It starts by giving an overview of the SDG indicator framework and then discusses opportunities and challenges of monitoring LDN. Following sub-sections present the approved indicator for reporting on LDN, the currently discussed sub-indicators and how they are embedded in a broader monitoring approach. Eventually, Sect. 4 provides some preliminary conclusions on the on-going process of transforming the political vision of LDN into measurable targets.
- Research Article
6
- 10.1002/ldr.4645
- Aug 29, 2023
- Land Degradation & Development
One of the core challenges to achieve land degradation neutrality (LDN) is to spatially identify, and strategically prioritise, the areas to implement actions to avoid, reduce and reverse land degradation. To achieve this, a tool for a participatory and data‐driven assessment considering both the biophysical and socio‐economic dimensions of land degradation across scales was developed for Ecuador. In this paper, we present the methodology and results obtained, including the spatially explicit interactive tool developed to integrate indicators that support the scaling‐up of sustainable land management (SLM). The process involved specialists from various national and international institutions, as well as decision makers from the public sector and other relevant stakeholders. Cloud computing allowed the integration of five main sources of data: (1) the results of a participatory land degradation assessment based on an expert knowledge questionnaire following the land degradation assessment in drylands (LADA) and world overview of conservation approaches and technologies (WOCAT) methodology; (2) the Hand‐in‐Hand Initiative Ecuador typology maps based on poverty and estimated agricultural potential and efficiency scores from household surveys; (3) National datasets on land cover and land use, soil properties, and hydro climatic indicators; (4) global satellite‐derived LDN indicators, such as land productivity dynamics; and (5) documented SLM practices from WOCAT Global SLM Database. The tool is based on a Google Earth Engine application and allows decision makers to easily compare results and obtain statistics at different spatial scales and landscapes, including land use systems delimited by experts. It also includes a multi‐criteria module to identify areas with specific characteristics to prioritise different types of interventions to achieve the Country's LDN targets. Convergence of local and global evidence allowed the identification of hotspots of degradation as well as areas of false positives/negatives—if only global or remote sensing indicators were considered. The participatory process contributed to strengthening multi‐sector cooperation mechanisms and to guaranteeing ownership of the tool and the results. The system will support Ecuador's efforts to monitor and report progress towards LDN to the United Nations Convention to Combat Desertification. The system's code is shared as a repository at Earth Engine and can be adapted to and used by other countries and regions.
- Research Article
55
- 10.1016/j.ecolind.2023.110145
- Mar 15, 2023
- Ecological Indicators
Assessment of changes in water conservation capacity under land degradation neutrality effects in a typical watershed of Yellow River Basin, China
- Research Article
10
- 10.1002/ldr.5075
- Feb 29, 2024
- Land Degradation & Development
Land use planning (LUP) to achieve Land Degradation Neutrality (LDN) needs methods and tools that support the identification of best LUP solutions in terms of transitions from current degradative land use (LU) and land management (LM) practices to better LU and LM options. A crucial need is the identification of context specific sustainable land management (SLM) options. Addressing this need must aim at not only reversing/recovering past degradation (e.g., via restoration or rehabilitation in land degradation hotspots), but also avoiding “new” degradation possibly caused by unsuitable LU and LM. This requires SLM planning based on anticipated impact assessment of the LU‐LM transition scenarios set to achieve LDN, which can be achieved through a participatory planning process that integrates interests/needs and knowledge of stakeholders with science‐based supportive tools to identify rational, plausible, and socially relevant options. The geoinformatics Land Use Planning for LDN (LUP4LDN) conceptual procedure and tool have been designed for this purpose. Their aim is to support national and subnational planners by (i) mapping geographic patterns of past land degradation (LD) utilizing the LDN indicators adopted by the UNCCD (SDG 15.3.1 indicator) for user‐defined regions of interest (RoI); (ii) helping users anticipate future LD by identifying land that is unsustainably managed and that will likely become degraded during the planning period; (iii) partitioning the LD areas into spatial domains of socio‐ecological contextual similarity (i.e., contextual similarity units) to which the LU‐LM transitional options will be fitted; and (iv) providing an interactive procedure for participatory LU‐LM transitional scenario development over selected contextual similarity units and timeframes. LUP4LDN uses the Global Database of the World Overview of Conservation Approaches and Technologies (WOCAT), ICARDA's Geoinformatics Options by Context (GeOC) tool, and ELD (Economics of Land Degradation) indicators to identify context‐relevant SLM that are available in the RoI, suggests candidate SLM options, and visualizes related expected levels of impacts on ecosystem services via maps and graphs. The generated maps inform users about trade‐offs upon which users can discuss or negotiate transitional pathways. LUP4LDN has been codeveloped with national stakeholders in Tunisia and Burkina Faso. The piloting implementation in the two countries assessed how LUP4LDN fits with existing LUP processes and the benefits achieved by using the tool to support LUP for LDN.